A laser obstacle avoidance system for manned and unmanned aircraft detect-and-avoid

摘要: This paper reviews the main hardware/software characteristics and numerical simulations performed to validate functionalities of an obstacle warning avoidance system for various manned unmanned platform applications. The Laser Obstacle Avoidance Monitoring (LOAM) is one key non-cooperative sensors adopted avoiding obstacles/intruders. Robust multi-criteria decision logics are identify optimal manoeuvre considering all currently previously detected obstacles by employing a so-called history function. Additionally, new formulation defining overall uncertainty volumes associated with obstacles. demonstrated detection performances robust trajectory generation algorithm ensure safe classes (i.e. ground aerial) in most weather conditions flight phases.